Harnessing Digital Twins in Transportation: Adaptation and Mitigation Strategies for Sustainability and Resilience

Abstract

The transportation sector is essential for global economic and social progress but also significantly contributes to greenhouse gas emissions and climate change. While the application of digital twin technology has been noted in various sectors, such as aerospace, it has only recently begun to expand into the transportation field. This chapter explores the transformative potential of digital twin technology in developing sustainable and resilient transportation systems. Digital twins are dynamic virtual replicas of physical systems that incorporate real-time data and advanced analytics to enhance transportation networks' performance, adaptability, and efficiency. This study is grounded in a systematic literature review that analyzes the latest research, specifically, peer-reviewed publications from 2018 onwards, focused on the use of digital twin technology in future mobility and optimizing transport network management and supply chains. Real-world applications, such as the Thameslink Railway Program and the Port of Rotterdam, demonstrate how digital twins can enhance energy consumption and streamline logistics operations. The study presented in this chapter contributes to the current understanding of digital twin technology by critically examining its dual benefits and highlighting its role in adaptation and mitigation strategies to improve transportation resilience against climate change and extreme weather conditions. Furthermore, it addresses the implementation challenges and provides recommendations for future research.

Publication DOI: https://doi.org/10.1007/978-3-032-00563-2_14
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Engineering Systems and Supply Chain Management
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering
Aston University (General)
Additional Information: Copyright © 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG. This version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use [ https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms ] but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-032-00563-2_14
Uncontrolled Keywords: Adaptation,climate change,digital twin,mitigation,supply chain,transport systems,SDG 11 - Sustainable Cities and Communities
ISBN: 9783032005625 (hbk), 9783032005656 (pbk), 9783032005632
Last Modified: 28 Jan 2026 12:46
Date Deposited: 28 Jan 2026 10:40
Full Text Link:
Related URLs: https://link.sp ... -032-00563-2_14 (Publisher URL)
PURE Output Type: Chapter (peer-reviewed)
Published Date: 2025-11-20
Authors: Torrao, Guilhermina (ORCID Profile 0000-0001-5614-2209)
Agca, Ahmet Onur (ORCID Profile 0000-0003-4356-3578)
Hadeed, Reem (ORCID Profile 0009-0007-3907-5201)

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